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This is the repository for the tutorials that accompany the Gaia DR2 paperLuri etal. 2018, A&A Special Issue for Gaia DR2 (alsoavailable onarxiv.org) describing recommended practices for theuse of astrometric data (in particular parallaxes) in astronomical data analysis problems.

You can launch the tutorials throughbinder. This was installed on 2018.12.12 and is not yet workingproperly.

Installation instructions to make sure you have everything needed to run the tutorials arehere.

• Infer distance to a single source (R)

  • Bayesian inference of distance from parallax only for a single source
  • Comparison of distance estimators

• Infer distance to and size of a cluster (R)

  • Notebook

• Infer distance and tangential velocity of a source (R)

  • Notebook

• Luminosity calibration (Python)

  • Explanation of negative parallaxes
  • Distribution of quantities derived from parallaxes for naive estimators and posteriors based onminimal prior information
  • Basics of handling data truncation
  • Simulation of parallax surveys
  • Inference of the luminosity of a class ofstars

• The period luminosity relation (R and Python)

  • R notebook interfaced to python
  • R notebook